Improved autoencoder for unsupervised anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22582
Abstract: Deep autoencoder‐based methods are the majority of deep anomaly detection. An autoencoder learning on training data is assumed to produce higher reconstruction error for the anomalous samples than the normal samples and thus can distinguish… read more here.
Keywords: detection; anomaly detection; improved autoencoder; unsupervised anomaly ... See more keywords
Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of magnetic resonance"
DOI: 10.1016/j.jmr.2021.106936
Abstract: The applicability of generative adversarial networks (GANs) capable of unsupervised anomaly detection (AnoGAN) was investigated in the management of quality of 1H-MRS human brain spectra at 3.0 T. The AnoGAN was trained in an unsupervised manner… read more here.
Keywords: generative adversarial; detection; adversarial networks; anomaly detection ... See more keywords
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3022366
Abstract: Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data have a spatial dimension… read more here.
Keywords: unsupervised anomaly; spatio temporal; anomaly detection; covid ... See more keywords
Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165977
Abstract: With the rapid increase of video surveillance points in the market in recent years, video anomaly detection has gained extensive attention in the security field. At present, the distribution of normal and anomalous data is… read more here.
Keywords: unsupervised anomaly; detection; convlstm; variational autoencoder ... See more keywords
TCAD: Unsupervised Anomaly Detection Based on Global Local Representation Differences
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216930
Abstract: Multivariate time series anomaly detection is of great interest because of its wide range of applications. Since it is difficult to obtain accurate anomaly labels, many unsupervised anomaly detection algorithms have been developed. However, it… read more here.
Keywords: global local; unsupervised anomaly; anomaly detection; local representation ... See more keywords
Constructing a Meta-Learner for Unsupervised Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274113
Abstract: Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no single algorithm has been found to be… read more here.
Keywords: meta; unsupervised anomaly; anomaly detection; meta learner ... See more keywords
Robust Tracking via Learning Model Update With Unsupervised Anomaly Detection Philosophy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3221723
Abstract: Template tracking is a typical paradigm to adaptively locate arbitrary objects in the tracking literature. Although existing works present diverse template updating approaches, one of the essential problems of template updating has not been solved… read more here.
Keywords: philosophy; template; unsupervised anomaly; anomaly detection ... See more keywords
Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2935066
Abstract: In this article, we propose an online and unsupervised anomaly detection algorithm for streaming data using an array of sliding windows and the probability density-based descriptors (PDDs) (based on these windows). This algorithm mainly consists… read more here.
Keywords: streaming data; online unsupervised; array; unsupervised anomaly ... See more keywords
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3142326
Abstract: Unsupervised anomaly detection in real industrial scenarios is challenging since the small amount of defect-free images contain limited discriminative information, and anomaly defects are unpredictable. In this paper, a dual-siamese network is designed to simultaneously… read more here.
Keywords: network; siamese network; unsupervised anomaly; anomaly detection ... See more keywords
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3196436
Abstract: Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of defect samples, the cost of annotation, and the lack of $a$… read more here.
Keywords: localization; industrial images; anomaly localization; unsupervised anomaly ... See more keywords
Special Issue on Unsupervised Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13105916
Abstract: Anomaly detection (also known as outlier detection) is the task of finding instances in a dataset which deviate markedly from the norm [...] read more here.
Keywords: issue unsupervised; unsupervised anomaly; detection; anomaly detection ... See more keywords